Results 41 to 50 of about 290,361 (261)

Channel-spatial attention network for fewshot classification

PLOS ONE, 2019
Learning a powerful representation for a class with few labeled samples is a challenging problem. Although some state-of-the-art few-shot learning algorithms perform well based on meta-learning, they only focus on novel network architecture and fail to take advantage of the knowledge of every classification task. In this paper, to accomplish this goal,
Yan Zhang, Min Fang, Nian Wang
openaire   +4 more sources

Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation

, 2021
Spatial and channel attentions, modelling the semantic interdependencies in spatial and channel dimensions respectively, have recently been widely used for semantic segmentation. However, computing spatial and channel attentions separately sometimes causes errors, especially for those difficult cases.
Huang, Ye, Kang, Di, Jia, Wenjing, He, Xiangjian, Liu, Liu   +4 more
openaire   +2 more sources

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro, Sarah Silver, Prishi Patel, Meredith K. Reffner Collins, Kimberly S. Canter, Stephanie Fooks‐Parker, Michael Amylon, Shawna V. Hudson, Jessica L. Schleider, Melissa A. Alderfer, Katie A. Devine   +10 more
wiley   +1 more source

Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS

Sensors
To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity ...
Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao   +6 more
doaj   +1 more source

Tactical Decision-Making for Autonomous Driving Using Dueling Double Deep Q Network With Double Attention

IEEE Access, 2021
Decision-making is still a significant challenge to realize fully autonomous driving. Using deep reinforcement learning (DRL) to solve autonomous driving decision-making problems is a recent trend.
Shuwei Zhang, Yutian Wu, Harutoshi Ogai, Hiroshi Inujima, Shigeyuki Tateno   +4 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

A Strawberry Ripeness Detection Method Based on Improved YOLOv8

Applied Sciences
An enhanced YOLOv8-based network was developed to accurately and efficiently detect the ripeness of strawberries in complex environments. Firstly, a CA (channel attention) mechanism was integrated into the backbone and head of the YOLOv8 model to improve
Yawei Yue, Shengbo Xu, Huanhuan Wu
doaj   +1 more source

Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention

Entropy, 2022
Attention mechanisms can improve the performance of neural networks, but the recent attention networks bring a greater computational overhead while improving network performance.
Hua Yang, Ming Yang, Bitao He, Tao Qin, Jing Yang   +4 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Edge-Enhanced with Feedback Attention Network for Image Super-Resolution

Sensors, 2021
Significant progress has been made in single image super-resolution (SISR) based on deep convolutional neural networks (CNNs). The attention mechanism can capture important features well, and the feedback mechanism can realize the fine-tuning of the ...
Chunmei Fu, Yong Yin
doaj   +1 more source